Woo, Russell

The rapid adoption of telemedicine has transformed healthcare delivery in the US, enhancing access and communication for surgical patients across wide geographic areas. However, a critical challenge persists: the need to define and standardize quality metrics specifically for telemedicine in surgery. Existing studies suggest that telemedicine can yield equivalent or improved outcomes compared with in-person visits. Nevertheless, literature remains limited in evaluating patient satisfaction, cost-effectiveness, and diagnostic accuracy. Through expert consensus within the American College of Surgeons Board of Governors Telehealth Pillar, we propose a structured framework for defining and implementing quality metrics for surgical telemedicine. This is based on the Donabedian model, addressing structure, process, and outcome, while also considering the distinct phases of surgical care: preoperative, intraoperative, and postoperative. This framework identifies unique domains of telemedicine in surgical care, emphasizing hospital and organizational structure, patient and provider readiness, and policy alignment. A comparative analysis with existing AHRQ and WHO frameworks highlights gaps in surgical applicability. Finally, we propose an implementation roadmap prioritizing immediate, feasible metrics while identifying areas for future validation. Collaboration among researchers, clinicians, and policymakers will be essential to establish these metrics and ensure that telemedicine delivers on its potential to improve surgical care delivery while addressing disparities in access and outcomes.

AbstractBackgroundAdverse effects of medical treatment (AEMT) pose significant risks to paediatric patients. However, the mortality trends associated with AEMT in this population have been unclear.ObjectiveWe aimed to clarify the trends in the incidence, disability‐adjusted life years (DALYs) and mortality rates of AEMT for children in the US from 2000 to 2019.MethodsData were retrieved from the Global Burden of Disease study 2019. We estimated age‐standardized incidence, DALYs and mortality rates of paediatric AEMT per 100,000 children in the US using a Bayesian meta‐regression model. We also analysed incidence, DALYs and mortality in different age groups, and employed Joinpoint regression models to assess the age‐ and sex‐specific trends.ResultsThe number of deaths due to AEMT in children, the number of cases, and DALYs were 105.1, 551,076 and 145,555 in 2019, decreased by 37.5%, 6% and 28% from those in 2000, respectively. Age‐standardized mortality rates decreased across all age groups, while the incidence increased across all age groups with an average annual percentage change (AAPC) of 2.2% in those children <1 year and 4.5% in 5–9 years of age. The increases in DALYs over time was higher in children aged 1–4 years (AAPC: 0.51, 95% CI: 0.47, 0.62) and 5–9 years (AAPC: 0.33, 95% CI: 0.15, 0.50), with the 1–4 year age group being the highest.ConclusionThe study reveals declining AEMT mortality but rising incidence and DALYs, emphasizing a disproportionate burden in <1, 1–4 and 5–9 years. To develop effective mitigation strategies, future research is warranted to identify the causes of increased AEMT in children, especially young males.